USAGE:
  mc batch COMMAND [COMMAND FLAGS | -h] [ARGUMENTS...]

COMMANDS:
  generate  generate a new batch job definition
  start     start a new batch job
  list, ls  list all current batch jobs
  status    summarize job events on MinIO server in real-time
  describe  describe job definition for a job
```

### Generate a job yaml
```
mc batch generate alias/ replicate
```

EOF
}

function ips_to_cidrs() {
  IP_RANGE_START="$1"
  IP_RANGE_END="$2"
  python3 - <<EOF
from ipaddress import summarize_address_range, IPv4Address
[ print(n.compressed) for n in summarize_address_range(IPv4Address(u'$IP_RANGE_START'), IPv4Address(u'$IP_RANGE_END')) ]
EOF

- `context_values`: are values like the bucket and object name and other information which should be cryptographically bound to the KEK.

To summarize for any encrypted object there exists (at least) three different keys:

    return methods_.summarize != nullptr;
  }

  Status SummarizeValue(std::string& summary) const override {
    if (methods_.summarize == nullptr) {
      return tensorflow::CustomDeviceTensorHandle::SummarizeValue(summary);
    }
    TF_Status c_status;
    std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> summary_buffer(
        methods_.summarize(data_, &c_status), TF_DeleteBuffer);

  TFE_CustomDeviceTensorHandleMethods handle_methods;
  handle_methods.num_dims = &ParallelTensorNumDims;
  handle_methods.dim = &ParallelTensorDim;
  handle_methods.deallocator = &ParallelTensorDeallocator;
  handle_methods.summarize = &ParallelTensorSummarize;
  return TensorHandlePtr(TFE_NewCustomDeviceTensorHandle(
      context, parallel_device_name.c_str(), t_released->dtype(), t_released,
      handle_methods, status));
}

 * forms of variance -- that were computed from a single set of zero or more floating-point values.
 *
 * <p>There are two ways to obtain a {@code Stats} instance:
 *
 * <ul>
 *   <li>If all the values you want to summarize are already known, use the appropriate {@code
 *       Stats.of} factory method below. Primitive arrays, iterables and iterators of any kind of
 *       {@code Number}, and primitive varargs are supported.

  // device which would be useful for debugging.
  //
  // Optional. If null, defaults to resolving the TFE_TensorHandle into a
  // TF_Tensor and summarizing that.
  TF_Buffer* (*summarize)(void* data, TF_Status* status) = nullptr;
} TFE_CustomDeviceTensorHandle;

// Creates a new TensorHandle from memory residing in a custom device. Takes

 */
package org.apache.maven.execution;

import java.util.Objects;

import org.apache.maven.project.MavenProject;

/**
 * Summarizes the result of a project build in the reactor.
 *
 */
public abstract class BuildSummary {

    /**
     * The project being summarized.
     */
    private final MavenProject project;

    /**
     * The build time of the project in milliseconds.
     */

 */
function computeStatistics(groupedFiles, fileMetadatas) {
    let totalAdditions = 0;
    let totalDeletions = 0
    let totalChangedFiles = 0;

    let summaries = [...groupedFiles.values()];
    Object.values(summaries).forEach(summary => {
        summary.additions = 0;
        summary.deletions = 0;

        summary.files.forEach(file => {
            let fileMetadata = metadataFor(fileMetadatas, file);

package org.apache.maven.execution;

import org.apache.maven.project.MavenProject;

/**
 * Summarizes the result of a successful project build in the reactor.
 *
 */
public class BuildSuccess extends BuildSummary {

    /**
     * Creates a new build summary for the specified project.
     *
     * @param project The project being summarized, must not be {@code null}.
     * @param time The build time of the project in milliseconds.